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86 papers · 1 filter
Building A Field: The Future of Astronomy with Gravitational Waves, A State of The Profession Consideration for Astro2020
Kelly Holley-Bockelmann, Joey Shapiro Key, Brittany Kamai +28
Harnessing the sheer discovery potential of gravitational wave astronomy will require bold, deliberate, and sustained efforts to train and develop the requisite workforce. The next…
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection
Yiyuan Yang, Riqiang Gao, Yucheng Tang +6
Recently, multi-task networks have shown to both offer additional estimation capabilities, and, perhaps more importantly, increased performance over single-task networks on a "main…
The NANOGrav 11-Year Data Set: Limits on Gravitational Wave Memory
K. Aggarwal, Z. Arzoumanian, P. T. Baker +58
The mergers of supermassive black hole binaries (SMBHBs) promise to be incredible sources of gravitational waves (GWs). While the oscillatory part of the merger gravitational wavef…
Simulation of a Hydrogen Atom in Laser Field Using the Time-Dependent Variational Principle
Keefer Rowan, Louis Schatzki, Timothy Zaklama +3
The time-dependent variational principle is used to optimize the linear and nonlinear parameters of Gaussian basis functions to solve the time-dependent Schrodinger equation in 1 a…
Stochastic tissue window normalization of deep learning on computed tomography
Yuankai Huo, Yucheng Tang, Yunqiang Chen +8
Tissue window filtering has been widely used in deep learning for computed tomography (CT) image analyses to improve training performance (e.g., soft tissue windows for abdominal C…
Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques
Tianyu Hua, Maithilee Kunda
Psychologists recognize Raven's Progressive Matrices as a very effective test of general human intelligence. While many computational models have been developed by the AI community…